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Assessing the Accuracy of Artificial Intelligence-Generated Clinical Summaries From Ambulatory Glaucoma Subspecialty Clinical Encounters.
Zhang Yapei, Shi Min, Chung In Young, Liebman Daniel L, Barna Laura E, Pasquale Louis R et al.
Transl Vis Sci TechnolJan 20262 citationsObservational Study
LLaMA 2-70B shows promise for patient-friendly glaucoma summaries, achieving 66-70% accuracy. Better for suspects, it excels in targeted questions (80-91% accuracy). LLMs could enhance patient communication and health literacy in ophthalmology.